MacBook Air (Late 2020)
Geekbench AI Score
3215
Single Precision Score
5231
Half Precision Score
4359
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | amirtaraj |
| Upload Date | November 16 2024 07:49 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5057p) |
| Model | MacBook Air (Late 2020) |
| Model ID | MacBookAir10,1 |
| Motherboard | MacBookAir10,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1407
261.7 IPS |
|
|
Image Classification (HP)
|
100% |
2189
407.2 IPS |
|
|
Image Classification (Q)
|
96% |
1557
290.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1386
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2206
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2598
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6530
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
13916
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12043
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1517
120.3 IPS |
|
|
Object Detection (HP)
|
97% |
2421
192.8 IPS |
|
|
Object Detection (Q)
|
94% |
1791
142.8 IPS |
|
|
Face Detection (SP)
|
100% |
3033
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
5476
65.1 IPS |
|
|
Face Detection (Q)
|
100% |
3200
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5824
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11067
85.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7284
56.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16617
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
25972
33.4 IPS |
|
|
Style Transfer (Q)
|
96% |
21790
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3727
137.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4329
159.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3347
123.6 IPS |
|
|
Text Classification (SP)
|
100% |
2259
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3852
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3907
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2476
42.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3594
62.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4278
73.9 IPS |
